Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...
Abstract: In underwater environments, the absorption and scattering of light often result in various types of degradation in captured images, including color cast, low contrast, low brightness, and ...
Kendall, A., Badrinarayanan, V. and Cipolla, R. (2015) Bayesian SegNet Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. arXiv 1511.02680.
Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...
Any engineer currently running Eagle3 or a multi-token-prediction setup to speed up their LLM inference now has a compelling reason to look at the alternative NVIDIA's research team published Tuesday.
Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...
Breast ultrasound interpretation requires simultaneous lesion segmentation and tissue classification, yet conventional multi-task learning approaches suffer from task interference and rigid ...
The proposed OMB changes to research funding threaten US science. Researchers must stand up for and share the value of science to society.
The lineup includes a 10-inch 1U model for two Raspberry Pi boards, a 19-inch 1U model for five boards, and a 19-inch 2U model for up to ten boards. All the panels support Raspberry Pi 5, Raspberry Pi ...
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